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All Journal Jurnal Ilmiah Teknik Elektro Komputer dan Informatika (JITEKI) Jurnal Ilmiah Kursor Telematika : Jurnal Informatika dan Teknologi Informasi Jurnal Teknologi Informasi dan Ilmu Komputer Jurnas Nasional Teknologi dan Sistem Informasi JURNAL EKONOMI DAN BISNIS AIRLANGGA EKOMBIS REVIEW: Jurnal Ilmiah Ekonomi dan Bisnis Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi) Jurnal Teknik Komputer AMIK BSI INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi KACANEGARA Jurnal Pengabdian pada Masyarakat Jurnal Nasional Pendidikan Teknik Informatika (JANAPATI) Jurnal Telematika Indonesian Journal of Applied Informatics JISKa (Jurnal Informatika Sunan Kalijaga) Syntax Idea JIKA (Jurnal Informatika) Jurnal Sistem Komputer dan Informatika (JSON) Aiti: Jurnal Teknologi Informasi Indonesian Community Journal Journal of Social Science Asian Journal of Management, Entrepreneurship and Social Science JuTISI (Jurnal Teknik Informatika dan Sistem Informasi) Jurnal Abdi Rakyat
Rianto Rianto
Universitas Teknologi Yogyakarta
Religion Aerospace Engineering Agriculture, Biological Sciences & Forestry Arts Humanities Automotive Engineering Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Energy Engineering Environmental Science Library & Information Science Public Health Social Sciences Other

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BRAND TRUST AND CUSTOMER LOYALITY IN SERVICE COMPANIES HEALTH Munawaroh, Emi; Rianto
Jurnal Ekonomi dan Bisnis Airlangga Vol. 32 No. 1 (2022): JURNAL EKONOMI DAN BISNIS AIRLANGGA
Publisher : Fakultas Ekonomi dan Bisnis, Universitas Airlangga

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20473/jeba.V32I12022.93-102

Abstract

Introduction: This study was conducted to examine the effect of trust in brand (brand characteristic, company characteristic, and customer - brand characteristic) on brand loyalty in hospital patients. Methods: The method used in this study is a quantitative descriptive research method with a multiple linear regression analysis approach using 100 respondents who have used the services of RSUD Dr. Sudirman Kebumen. Results: The results of this study indicate that trust in brand has a positive effect on brand loyalty, either partially for each dimension of brand characteristic, company characteristic, and customer-brand characteristic or simultaneously. Furthermore, customer-brand characteristic is the dominant variable even though the difference is not great. Therefore, it can be concluded that, in building brand loyalty, it requires building trust from the brand with characteristics starting from the brand itself, and how the patient's relationship with the brand is established. Conclusion and suggestion The author finds that building brand loyalty in service companies, especially health services at regional companies, requires good brand trust management. This is a new finding because previous research has focused on goods industry. Brand loyalty is focused not only on a tangible product industry, but even health service companies need good brand awareness, especially trust, to be able to maintain customer loyalty to the brand.
Sistem Rekomendasi Hybrid Menggunakan Metode Switching Rizki, Muhammad; Rianto, Rianto
Jurnal Teknik Informatika dan Sistem Informasi Vol 10 No 2 (2024): JuTISI
Publisher : Maranatha University Press

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28932/jutisi.v10i2.6220

Abstract

Technological developments force businesses to provide the best service by making recommendation systems a solution to maintain consumer loyalty. Many studies have been carried out on recommendation systems to overcome Cold-Start or Serendipitous Problems. This study conducted Hybrid Collaborative Filtering and Content-Based filtering using the Switching method as a medium for selecting the correct data and attributes. Furthermore, the data is processed using the TF-IDF and KNN algorithms. This study conducted several tests using various K values and the training and testing data composition. The test results show that the highest accuracy produced by the model that has been developed is 83.62 percent for the switching method with the product category attribute as the variable label and 74.9 percent for the switching method with the rating attribute as the variable label. The training and testing data ratio used in this study is 70:30, with a K equals 3. The study's results also found a significant correlation between the K value and the accuracy value, where a high K value would also result in high accuracy.
Teknologi Kecerdasan Buatan Untuk Mengembangkan Desain Motif Batik Kontemporer Rianto, Rianto; Sela, Enny Itje; Wening, Nur
Jurnal ABDI RAKYAT Vol. 1 No. 2 (2024): JURNAL ABDI RAKYAT
Publisher : Universitas Teknologi Yogyakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.46923/jar.v1i2.448

Abstract

Artificial intelligence technology in producing contemporary batik motif designs is an innovative phase in the creative industry. The development of technology, Natural Language Processing, allows text to be translated into images, providing an excellent opportunity to accelerate the design process while enriching creative ideas. This community service program aims to train batik artisans in adopting information technology, especially artificial intelligence, to create new, attractive motif designs. The training includes using an AI-based platform and design transfer techniques to fabric media. The result of this activity is a contemporary batik motif that targets millennials with their distinctive style. This technology provides two main advantages: 1) time efficiency in design creation and 2) broad creative inspiration through automatic exploration of motif data. Both of these advantages show that the application of artificial intelligence in batik design supports innovation and competitiveness in the modern market.
Teknik produksi dan pemasaran Batik Parang Kaliurang Rianto, Rianto; Setyawati, Endang; Wahyuhana, Ratika Tulus; Setiafindari, Widya
KACANEGARA Jurnal Pengabdian pada Masyarakat Vol 6, No 1 (2023): February
Publisher : Institut Teknologi Dirgantara Adisutjipto

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.28989/kacanegara.v6i1.1218

Abstract

Batik Parang Kaliurang is a women's business group located in South Kaliurang, Sleman,Yogyakarta. Batik Parang Kaliurang existed until 2020, marked by many orders from within and outside the country. Several marketing support activities have also been followed, such as participating in exhibitions, competitions, training, and other activities. Conditions changed when the COVID-19 pandemic occurred with several government regulations to break the chain of virus spread, one of which was social distancing. The impact of this regulation is the lack of visitors to the showroom so that from 2020 to 2021, Parang Kaliurang batik will almost not produce. This is partly because Parang Kaliurang batik does not have media for product marketing or digital exhibitions. This community service aims to regenerate transactions in Parang Kaliurang batik by expanding the marketing network through cyberspace. However, this facility is also not accessible because of several obstacles such as production space and the ability of human resources to operate technology.
Analisis Perbandingan Algoritma Decision Tree dengan Random Forest dalam Deteksi Bot DDOS Kristianto Pratama Dessan Putra; Rianto Rianto; EIH Ujianto
IJAI (Indonesian Journal of Applied Informatics) Vol 10, No 1 (2025)
Publisher : Universitas Sebelas Maret

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.20961/ijai.v10i1.103161

Abstract

Abstrak : Tingkat penetrasi internet yang semakin meningkat setiap tahunnya juga berpengaruh pada banyaknya peralihan layanan dari konvensional ke platform internet. Peralihan layanan tersebut terbukti membawa dampak baik, seperti meningkatnya volume penjualan produk. Namun, di sisi lain dengan semakin banyaknya peralihan layanan ke platform internet maka semakin banyak pula celah-celah keamanan yang dapat dieksploitasi, salah satunya serangan bot DDos. Oleh karena itu, diperlukan adanya sistem yang mampu mendeteksi serangan bot DDos dan algoritma yang akan dianalisis dalam penelitian ini adalah Decision Tree dan Random Forest. Penelitian ini akan membandingkan kedua algoritma tersebut untuk menentukan algoritma yang paling optimal dalam mendeteksi serangan bot DDos. Penelitian ini menggunakan dua dataset dalam proses implementasi algoritma, yaitu KDD CUP 1999 dan CICIDS 2017. Ruang lingkup dari perbandingan kedua algoritma meliputi tingkat akurasi dan durasi waktu pemrosesan data. Hasil dari penelitian menunjukkan bahwa algoritma Random Forest unggul tipis dalam hal tingkat akurasi dibandingkan dengan Decision Tree, yaitu 0.9998 untuk Random Forest berbanding 0.9997 untuk Decision Tree. Namun, algoritma Decision Tree unggul jauh dalam hal durasi waktu dibandingkan dengan Random Forest, yaitu 20-30 detik untuk Decision Tree berbanding 210-300 detik untuk Random Forest. Hal tersebut dapat terjadi dikarenakan Random Forest memproses lebih banyak pohon kemungkinan dibandingkan Decision Tree.=============================================Abstract : The increasing internet penetration each year also affects the shift of services from conventional methods to internet platforms. This shift has proven to bring positive impacts, such as an increase in product sales volume. However, there are increasingly more security vulnerabilities that can be exploited, such as DDoS bot attacks. Therefore, a system that capable to detect bot DDoS attacks is needed. This study compares these two algorithms (Decision Tree and Random Forest) to determine which is the most optimal for detecting bot DDoS attacks. The scope of the comparison includes accuracy levels and data processing time. The results show that Random Forest slightly outperforms Decision Tree in terms of accuracy, with a score of 0.9998 for Random Forest compared to 0.9997 for Decision Tree. However, Decision Tree is significantly superior in processing time compared to Random Forest (20–30 seconds for Decision Tree versus 210–300 seconds for Random Forest). This occurs because Random Forest processes more trees than Decision Tree. 
Enhancing SVM-Based Classification Performance on Indonesian Sentences through TF-IDF and Directional Augmentation Rianto, Rianto; Humanika, Eko Setyo; Untoro, Iwan Hartadi Tri
INTENSIF: Jurnal Ilmiah Penelitian dan Penerapan Teknologi Sistem Informasi Vol 10 No 1 (2026)
Publisher : Universitas Nusantara PGRI Kediri

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29407/intensif.v10i1.25179

Abstract

Background: The distinction between standard and non-standard Indonesian sentences is traditionally well-defined, yet the ubiquity of digital communication has increasingly blurred these boundaries. This convergence introduces significant lexical ambiguity in formal contexts, complicating the performance of automated text classification systems. Objective: This study aims to enhance the robustness of Support Vector Machine (SVM) classification by addressing these linguistic irregularities through TF-IDF vectorization and a targeted directional augmentation strategy. Methods: A corpus comprising 5,394 labeled sentences was processed under a strict anti-leak grouping strategy to rigorously prevent semantic leakage between training, validation, and testing sets. To resolve decision boundary overlaps often missed by the baseline model, manual directional augmentation was applied, specifically targeting ambiguous sentence structures to enrich the training distribution and linguistic diversity. Results: The experiments demonstrated that directional augmentation significantly refined the model's decision margins. While the baseline model achieved a test accuracy of 94.39%, the augmented approach substantially improved generalization capabilities across unseen groups, elevating validation accuracy from 96.11% to 97.39% and test accuracy to 96.16%. Conclusion: These findings substantiate that structurally enriching the dataset effectively mitigates overfitting and improves sensitivity. However, given the scalability constraints of manual intervention, future research should prioritize automated augmentation techniques and contextual embeddings to handle deep linguistic nuances further.
Kombinasi Algoritma Kriptografi Vigenere Cipher dan SHA256 untuk Keamanan Basis Data Rian Oktafiani; Erik Iman Heri Ujianto; Rianto Rianto
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 4 No. 3 (2023): Maret 2023
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v4i3.5583

Abstract

An organization must consider and manage the security of data storage in databases or databases, and special procedures are needed to protect data from various security risks. The problem in this study is that the population data contained in the Girisuko village administrative service information system has not been encrypted or secured. This can pose a risk that the data stored in the database can be intercepted and misused. In this study, the cryptographic technique used was a combination of the Vigenere Cipher and SHA 256 algorithms to secure or encrypt databases, especially population data in the Girisuko village administrative service information system. The text in the database is encrypted using the Vigenere Cipher, and SHA-256 is used to generate a hash value or a random value that is different from the text in the database. Messages will be encrypted using the Vigenere Cipher and then hashed with SHA-256 simultaneously. As a result, it will be difficult for an attacker to decrypt the text stored in the database because they have to break the Vigenere Cipher encryption, and also have to solve the hash value generated using SHA-256. This combination aims to increase security and maintain the confidentiality of messages from attackers. The application of the Vigenere Cipher and SHA to the village administration service information system application with a real-time database works well, as evidenced by the fast running-time of 0.39 seconds the data encryption process uses the Vigenere Cipher with 894,968 keys/second and an analyzed key length of 7 characters then text on population database successfully secured. By conducting this research, it is hoped that it can contribute to improving database system security.
Co-Authors Arief Hermawan Aziz Perdana Daegal, Andre Demas Risdho Listianto Dewi, Septi Riana Dian Wijayanti Donny Avianto Edi Priyanto EIH Ujianto Eko Setyo Humanika Endang Setyawati Enny Itje Sela Enny Itje Sela Erik Iman Heri Ujianto Erik Iman Heri Ujianto Erik Iman HU Evada Rustina Hening Nakuloadi Kristianto Pratama Dessan Putra Muhammad Rizki Muhammad Rizki Munawaroh, Emi Nadia Pramesti Nur Wening Nur Wening, Nur Paulus Insap Santosa Ratika Tulus Wahyuhana Retno Prihatini Rian Oktafiani Rian Oktafiani Rubangi Rubangi Saputra, Candra Heru Setiafindari, Widya Siska Howay Syahab, Alfin Syarifuddin Teguh Widodo Teguh Widodo Tri Untoro, Iwan Hartadi